Table 10 Comprehensive comparison between the proposed model and several studies for heart disease classification.

From: Enhancing heart disease classification based on greylag goose optimization algorithm and long short-term memory

Study

Models

Accuracy (%)

Ref20

Combination of (random forest, logistic regression, and KNN)

87.5

Ref21

Support vector machine

88.3

Ref22

Random Forest

90.16

Ref23

SVM, Logistic Regression, Neural Networks

89

This study

GGO for feature selection, LSTM for classification

99.58

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